How to Build a Memristive Integrate-and-Fire Model for Spiking Neuronal Signal Generation

Sung-Mo Kang; Donguk Choi; Jason K.  Eshraghian; Peng Zhou; Ahmet Samil Demirkol; Alon Ascoli; Ronald Tetzlaff

How to Build a Memristive Integrate-and-Fire Model for Spiking Neuronal Signal Generation

Research output: Contribution to journal › Research article › Contributed › peer-review

Contributors

Sung-Mo Kang - , University of California at Santa Cruz (First author)
Donguk Choi - , University of California at Santa Cruz (Author)
Jason K. Eshraghian - , University of Michigan, Ann Arbor (Author)
Peng Zhou - , University of California at Santa Cruz (Author)
Ahmet Samil Demirkol - , Chair of Fundamentals of Electrical Engineering (Author)
Alon Ascoli - , Chair of Fundamentals of Electrical Engineering (Author)
Ronald Tetzlaff - , Chair of Fundamentals of Electrical Engineering (Author)

Details

Original language	English
Journal	IEEE Transactions on Circuits and Systems : a publication of the IEEE Circuits and Systems Society. 1, Regular Papers
Publication status	Published - 2021
Peer-reviewed	Yes

External IDs

Scopus	85120781965
ORCID	/0000-0002-1236-1300/work/142239535
ORCID	/0000-0001-7436-0103/work/142240272

Keywords

IEEE Transactions on Circuits and Systems Darlington Best Paper Award

Kang, Sung-Mo (Recipient), Choi, Donguk (Recipient), Eshraghian, Jason K. (Recipient), Zhou, Peng (Recipient), Kim, Jieun (Recipient), Kong, Bai-Sun (Recipient), Zhu, Xiaojian (Recipient), Demirkol, Ahmet Samil (Recipient), Ascoli, Alon (Recipient), Tetzlaff, Ronald (Recipient), Lu, Wei D. (Recipient) & Chua, Leon O. (Recipient), 2023

Prize: Publication/Conference prize

View all prizes (1)

Research Portal of the TU Dresden

How to Build a Memristive Integrate-and-Fire Model for Spiking Neuronal Signal Generation

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IEEE Transactions on Circuits and Systems Darlington Best Paper Award